Global Journal of Science Frontier Research, F: Mathematics and Decision Science, Volume 22 Issue 4

© 2022. Randhir Singh. This research/review article is distributed under the terms of the Attribution-NonCommercial- NoDerivatives 4.0 International (CC BY-NC-ND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https://creativecommons.org/ licenses/by-nc- nd/4.0/. On Baysian Estimation of Loss of Estimators of Unknown Parameter of Binomial Distribution By Randhir Singh Ewing Christian College Summary- This paper aims at the Bayesian estimation for the loss and risk functions of the unknown parameter of the binomial distribution under the loss function which is different from that given by Rukhin(1988). The estimation involves beta distribution, a natural conjugate prior density function for the unknown parameter. Estimators obtained are conservatively biased and have finite frequentist risk. Keywords: Bayes Estimator, Loss Function, Risk Function, Binomial Distribution. GJSFR-F Classification: DDC Code: 843.7 LCC Code: PQ2165.C5 OnBaysianEstimationofLossofEstimatorsofUnknownParameterofBinomialDistribution Strictly as per the compliance and regulations of: Global Journal of Science Frontier Research: F Mathematics and Decision Sciences Volume 22 Issue 4 Version 1.0 Year 2022 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 2249-4626 & Print ISSN: 0975-5896